Urban areas represent one of the most dynamic regions on earth. To solve the problems which are associated with the
rapid changes in those regions urban and spatial planning relies on up-to-date information about the urban sprawl.
Remote sensing data and in particular Synthetic Aperture Radar (SAR) images can provide valuable information about
the characteristics of urban sprawl with a short repetition rate. In previous studies we could demonstrate the ability to
classify built-up areas with a high accuracy using TerraSAR-X images. This paper focuses on the transfer of this method
to ALOS/PALSAR images. First results of our study show that the method developed for X-band imagery can be
transferred to L-band SAR images. However, the analysis of L-band data still requires some modifications of the
proposed procedure in order to increase the accuracy.